@inproceedings{a181e373eabd44f8819e6b5ede58cfd4,
title = "Personalised fading for stream data",
keywords = "Fading strategies, Forgetting technique, Stream mining",
author = "Bruno Veloso and Benedita Malheiro and Burguillo, \{Juan Carlos\} and Jeremy Foss",
note = "Funding Information: This work was partially financed by the European Regional Development Fund (ERDF) through the Operational Programme for Competitiveness and Internationalisation (COMPETE Programme), within project ?FCOMP-01-0202-FEDER023151? and project ?POCI-01-0145-FEDER-006961?, and by national funds through the Funda??o para a Ci?ncia e Tecnologia (FCT)-Portuguese Foundation for Science and Technology-as part of project UID/EEA/50014/2013.3 Publisher Copyright: Copyright 2017 ACM.; 32nd Annual ACM Symposium on Applied Computing, SAC 2017 ; Conference date: 04-04-2017 Through 06-04-2017",
year = "2017",
month = apr,
day = "3",
doi = "10.1145/3019612.3019868",
language = "English",
series = "Proceedings of the ACM Symposium on Applied Computing",
publisher = "Association for Computing Machinery",
pages = "870--872",
booktitle = "32nd Annual ACM Symposium on Applied Computing, SAC 2017",
}